This repo contains all 5 Projects developed during Deep-Learning Foundation Nanodegree. All projects met expectation during project review.
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Updated
Nov 21, 2022 - HTML
This repo contains all 5 Projects developed during Deep-Learning Foundation Nanodegree. All projects met expectation during project review.
This projects uses Convolutional Neural Networks to classify images , CIFAR data set is used
Exploration and implementation of an inverse image search using transfer learning and nearest neighbors search.
Exploration of different pre-trained models to make predictions on Flickr images.
Example end-to-end Keras training and serving
Image super-resolution through deep learning (Adaptation for floydhub)
It uses Conditional GAN(Generative adversarial networks) to convert a front face image into a more primitive representation of the face.
Neural Network for generating Python source code based on given coding task.
Repository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow, FloydHub, AWS and soon GCE.
An Application that Detects Hand-Drawn Digits using a Convolutional Neural Network
PyTorch Tutorial for Workspace: what is torch.nn really?
Deep Learning Nanodegree Foundation (Feb-May 2017)
In this project our deep learning model predicts the content of an image.
udacity dlnd image classification for CIFAR-10
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